Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment
The development of wearable sensors has opened the door for long-term assessment of
movement disorders. However, there is still a need for developing methods suitable to …
movement disorders. However, there is still a need for developing methods suitable to …
Sensor-based stroke detection and stroke type classification in table tennis
In this paper we present a sensor-based table tennis stroke detection and classification
system. We attached inertial sensors to table tennis rackets and collected data of 8 different …
system. We attached inertial sensors to table tennis rackets and collected data of 8 different …
[PDF][PDF] IMU-based trick classification in skateboarding
The popularity of skateboarding continuously grows for athletes performing the sport and for
spectators following competitions. The presentation and the assessment of the athletes' …
spectators following competitions. The presentation and the assessment of the athletes' …
Classification of kinematic swimming data with emphasis on resource consumption
U Jensen, F Prade, BM Eskofier - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
The collection of kinematic data with a head-worn sensor is a promising approach for
swimming data analysis in the context of athlete support systems. We present a new …
swimming data analysis in the context of athlete support systems. We present a new …
Privacy implications of room climate data
P Morgner, C Müller, M Ring, B Eskofier… - … –ESORICS 2017: 22nd …, 2017 - Springer
Smart heating applications promise to increase energy efficiency and comfort by collecting
and processing room climate data. While it has been suspected that the sensed data may …
and processing room climate data. While it has been suspected that the sensed data may …
Comparison of real-time classification systems for arrhythmia detection on Android-based mobile devices
The electrocardiogram (ECG) is a key diagnostic tool in heart disease and may serve to
detect ischemia, arrhythmias, and other conditions. Automatic, low cost monitoring of the …
detect ischemia, arrhythmias, and other conditions. Automatic, low cost monitoring of the …
Wearable trick classification in freestyle snowboarding
BH Groh, M Fleckenstein… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
Digital motion analysis in freestyle snowboarding requires a stable trick detection and
accurate classification. Freestyle snowboarding contains several trick categories that all …
accurate classification. Freestyle snowboarding contains several trick categories that all …
Unobtrusive and energy-efficient swimming exercise tracking using on-node processing
Body-worn sensors for movement analysis in swimming have to be unobtrusive and energy-
efficient. We present a swimming exercise tracker for the unobtrusive positioning at the back …
efficient. We present a swimming exercise tracker for the unobtrusive positioning at the back …
[PDF][PDF] Sensor fusion for multi-player activity recognition in game sports
The use of wearable sensors for automatic recognition of human activities has pervaded
both professional and recreational sports. While many activities involving only a single …
both professional and recreational sports. While many activities involving only a single …
Energy efficient implementation of machine learning algorithms on hardware platforms
Machine and deep learning algorithms are currently employed for many applications such
as computer vision, speech recognition and portable/wearable electronics. Regrettably …
as computer vision, speech recognition and portable/wearable electronics. Regrettably …